test_wake_num = 100;
test_n1_num = 30;
test_n2_num = 100;
test_n3_n4_num = 100;
test_rem_num = 100;
test_cell = {wake_feature(train_wake_num: train_wake_num + test_wake_num) n1_feature(train_n1_num: train_n1_num + test_n1_num) n2_feature(train_n2_num: train_n2_num + test_n2_num) n3_n4_feature(train_n3_n4_num: train_n3_n4_num + test_n3_n4_num) r_feature(train_rem_num: train_rem_num + test_rem_num)}

train_wake_num = 100;
train_n1_num = 40;
train_n2_num = 100;
train_n3_n4_num = 100;
train_rem_num = 100;
train_cell = {wake_feature(1:train_wake_num) n1_feature(1:train_n1_num)...
    n2_feature(1:train_n2_num) n3_n4_feature(1:train_n3_n4_num) r_feature(1:train_rem_num)}
train_lable = {ones(1, train_wake_num), 2 * ones(1, train_n1_num), ...
    3 * ones(1, train_n2_num), 4 * ones(1, train_n3_n4_num), 5 * ones(1, train_rem_num)}
test_lable = {ones(1, test_wake_num), 2 * ones(1, test_n1_num), ...
    3 * ones(1, test_n2_num), 4 * ones(1, test_n3_n4_num), 5 * ones(1, test_rem_num)}